Edge detection is the basic operation in the image processing and analysis. Multiresolution Sequential Edge Linking (MSEL), which is proposed by Edward J. Delp of Purdue University, has a number of advantages over other edge detection schemes, such as lower false alarm rates while maintaining full connectivity of the edge. However, it is not reasonable in the initial value choosing and time consuming. To this problem, we first use anisotropic diffusion to smooth the image while keeping the edge, and then use the feedback method to optimize the initial value. We apply our method to the medical image, and the experiments show that our method is more efficient and accuracy than the old MSEL.